Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan--Vese and Rudin--Osher--Fatemi Models
Work
Year: 2017
Type: article
Abstract: Segmentation is a fundamental task for extracting semantically meaningful regions from an image. The goal of segmentation algorithms is to accurately assign object labels to each image location. Howev... more
Source: SIAM Journal on Imaging Sciences
Institutions University of North Carolina at Chapel Hill, Imaging Center, Oklahoma State University Center for Health Sciences, SRI International, Two Sigma Investments (United States) +2 more
Cites: 41
Cited by: 5
Related to: 10
FWCI: 0.121
Citation percentile (by year/subfield): 57.59
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Good health and well-being
Open Access status: green